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Senior BI / Data Engineer

At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a Senior BI / Data Engineer to join our UniQue team.

What will you be doing in this role?

  • Collect business requirement and analyse advanced AI solutions or identify and assess relevant existing data mining, machine learning and business intelligence solution.
  • Specification and design of presentation interfaces with optimal usability/user experience.
  • Produce data models according to specific problems statements.
  • Contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions).
  • Write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies.
  • Interact with data stewards and other IT stakeholders to define the data rules.
  • Define data controls and implement actions to ensure data quality and integrity.
  • Create automated anomaly detection systems and constant tracking of its performance.
  • Data mining using state-of-the-art methods.
  • Process, clean, and verify the integrity of data used for analysis.
  • Participate in the design of the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts.
  • Analyse data architecture for consistency, completeness, accuracy and reasonableness.
  • Contributing for the analysis of data management vision, strategy and policy and derive the IT requirements.
  • Analysis and documentation of Business and functional requirements, business cases and risk analysis.
  • Assistance in Business cases, Vision documents, Project Charters and Security Plans.

What do you need to succeed in this position?

  • Master's degree in IT field with minimum 13 years of relevant experience (or Bachelor's degree with minimum 17 years of relevant experience).
  • At least 2 years of experience in Machine Learning, Natural Language Processing and Large Language Models.
  • At least 2 years of experience with machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks.
  • At least 2 years of experience with Data Analytics techniques and tools, over big datasets, non-structured databases as well as data lakes.
  • Minimum 1 year of experience in the ETL processes and tools (SAS, Talend Open Studio).
  • Experience with one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, plagiarism detection, trends/anomalies detection in datasets, recommendation systems.
  • Prior experience with Graph Databases.
  • Strong experience with languages like R, Python, PERL.
  • Experience in the field of corpus-based linguistics.
  • Experience with alignment models and classification methods.
  • Proven experience with BPMN or UML or other with equivalent value.
  • Experience with business intelligence tools (Tableau, Qlik, SAS, SAP, GoodData).
  • Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL).
  • Knowledge of software development methodologies (e.g., RUP, Agile).
  • Good knowledge of information systems matters.
  • Good knowledge of large organisation administrative business processes.
  • Good knowledge of Wiki and collaborative sites.
  • Knowledge of architectural design and implementation of scalable modern data stores.

At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at our Diversity, Equality & Inclusion Policy for more information.

Average salary estimate

$135000 / YEARLY (est.)
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$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior BI / Data Engineer, Uni Systems

At Uni Systems, we're excited to offer an incredible opportunity for a Senior BI / Data Engineer to join our UniQue team, where your skills will help us turn digital visions into reality. In this pivotal role, you will dive deep into collecting business requirements while analyzing advanced AI solutions that fit our needs perfectly. You’ll be at the forefront of designing user-friendly data presentation interfaces and creating data models tailored to tackle specific problems. You will also contribute to crafting and implementing an analytics architecture that considers performance, physical design, and capacity dimensions. Your collaboration will extend to data stewards and IT stakeholders, ensuring that data rules are defined and properly implemented to maintain data integrity and quality. You’ll be creating automated anomaly detection systems that constantly track performance while engaging in data mining using cutting-edge methods. By cleansing and verifying the integrity of data, you will help us maintain a solid foundation for analysis. Plus, your expertise in Machine Learning, Natural Language Processing, and AI will enable us to champion data management strategies and policies. This role is perfect for those with a deep-seated knowledge of IT, data analytics, and a passion for innovative technology. If you meet the qualifications and want to contribute to a diverse and inclusive workplace at Uni Systems, we’d love to hear from you!

Frequently Asked Questions (FAQs) for Senior BI / Data Engineer Role at Uni Systems
What are the primary responsibilities of a Senior BI / Data Engineer at Uni Systems?

As a Senior BI / Data Engineer at Uni Systems, you'll be responsible for collecting business requirements, analyzing advanced AI solutions, and designing data models that address specific problem statements. Your role will also involve creating user-friendly presentation interfaces, contributing to the analytics architecture, and ensuring data quality through defined controls.

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What are the educational and experience requirements for the Senior BI / Data Engineer position at Uni Systems?

Candidates for the Senior BI / Data Engineer position at Uni Systems should hold a Master's degree in an IT field with at least 13 years of relevant experience, or a Bachelor's degree with a minimum of 17 years in a similar role. Experience in Machine Learning, NLP, and data analytics tools is also essential.

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What machine learning and data analytics skills are required for the Senior BI / Data Engineer at Uni Systems?

In the Senior BI / Data Engineer role at Uni Systems, you should have at least 2 years of experience with machine learning techniques, including k-NN, Naive Bayes, and neural networks. Proficiency in data analytics techniques over large datasets and a strong foundation in ETL processes using tools like SAS or Talend Open Studio is also required.

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What specific tools and languages does a Senior BI / Data Engineer at Uni Systems need to be familiar with?

At Uni Systems, a successful Senior BI / Data Engineer should be proficient in programming languages such as R, Python, and PERL. Familiarity with business intelligence tools like Tableau and GoodData, as well as NoSQL databases such as MongoDB and Hadoop, is crucial for managing and analyzing complex datasets.

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How does Uni Systems promote diversity and inclusion for the Senior BI / Data Engineer position?

Uni Systems is committed to equal employment opportunities and promoting an inclusive workplace for the Senior BI / Data Engineer position. We value diversity across various characteristics, and our Diversity, Equality & Inclusion Policy ensures that all employees are treated with respect and fairness.

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Common Interview Questions for Senior BI / Data Engineer
Can you describe your experience with data modeling as a Senior BI / Data Engineer?

In answering this question, provide specific examples of data models you've created in the past and discuss the strategies you used to ensure they solve particular business problems effectively, highlighting your impact on previous projects.

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What strategies do you use to ensure data quality in your work?

Discuss the methods you employ to define data controls and perform data cleansing activities. Mention any tools or techniques you are familiar with, and emphasize the importance of data integrity in delivering reliable insights.

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How do you approach collaboration with cross-functional teams?

Illustrate your ability to work with different teams, highlighting your communication skills and any experiences where you've successfully navigated complexities or dependencies with other project teams to achieve common goals.

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What types of machine learning algorithms have you implemented in past projects?

Share specific algorithms you've utilized, such as decision forests or neural networks, and describe the context in which you applied them. Discuss the outcomes of these implementations and any lessons learned.

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Can you explain the importance of user experience in data presentation?

Emphasize how a good user experience can impact the interpretation of data for end-users. Share examples of interfaces you have designed and how user feedback was incorporated to enhance usability.

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Describe a challenge you've faced in data mining and how you overcame it.

Provide a specific scenario where you encountered obstacles in data mining, detailing the steps you took to resolve the issue and what the outcome was. Focus on your problem-solving and analytical skills.

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How do you stay updated with the latest trends in BI and data engineering?

Show your commitment to continuous learning by mentioning sources you follow, communities you participate in, and any relevant certifications or courses you've recently completed to stay ahead in BI and data engineering.

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What experience do you have with ETL processes, and how do you approach them?

Discuss your familiarity with ETL tools, the methodologies you use for effective data integration and transformation, and any specific projects where you applied these processes successfully.

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How do you handle performance optimization in data analytics?

Share specific techniques you’ve employed to improve the performance of analytics processes, including the optimization of queries, data structures, and system resources in your previous work.

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Can you provide examples of how you've contributed to analytics architecture design?

Mention your role in past architecture design initiatives and detail your contributions towards ensuring that the architecture supports data processing, accessibility, and analytical needs within an organization.

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Uni Systems SA, a 100% subsidiary of Info-Quest, the largest IT Company in Greece for many years, is the Group's specialized integrated technology solutions implementation Company. Uni Systems is the largest IT & Communications integrated solution...

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Full-time, remote
DATE POSTED
March 19, 2025

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